Max Cembalest @maxcembalest
Math and AI, working on a product for newcomers to code and trying to explain the logarithm Prev @nomic_ai @ItsArthurAI, MS @HarvardGSAS, teacher @ALAcademy nyc Joined September 2014-
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"Every creative act can be seen as fact." - W. B. Yeats (A Vision, 1925) "I set out to write a book about what to do to make a great work of art. Instead, it revealed itself to be a book on how to be." - R. Rubin (The Creative Act, 2023)
gpt-oss-20b-GGUF gives a nice fast answer to a math question I like that OSS models used to get very wrong
gpt-oss-20b-GGUF gives a nice fast answer to a math question I like that OSS models used to get very wrong https://t.co/DJ6WXdfcRa
Beware documentation that uses AI Many sites deploy AI in their documentation that is weeks or months behind the most basic information Here's searching for gpt-5 in @OpenRouterAI ("GPT-5 has not been publicly released") vs googling for openrouter gpt-5 ("GPT-5 is now live")
Inspired by Ian Fraizer and Douglas Hofstader I am trying to approach this question by comparing robots wih pigeons a pigeon limping with a hurt foot or snagged in a wire is experiencing qualia more than, for example, a robot animal writhing on the floor in the image of pain
Inspired by Ian Fraizer and Douglas Hofstader I am trying to approach this question by comparing robots wih pigeons a pigeon limping with a hurt foot or snagged in a wire is experiencing qualia more than, for example, a robot animal writhing on the floor in the image of pain https://t.co/byNsgFIBYw
Let 'symbological mutation' be a process that arrives at a token sequence or symbol arrangement by exploring the space of all possible token sequences or symbol arrangements. This abstracts 'text', 'diffusion', etc. away from work meant to flip symbols until meaning transmits.
https://t.co/nv6CguKndg
Introducing the new Gemini AWD (All Waymo Drive) Oh the places you’ll prompt yourself to go
this is not a helpful response from claude
this is not a helpful response from claude
This but now its about 1. loss of a model 2. load balance of a network 3. latency of an api x.com/tszzl/status/1…
This but now its about 1. loss of a model 2. load balance of a network 3. latency of an api x.com/tszzl/status/1…
It is pretty reasonable to assume that Kurt Gödel spent an unreasonable amount of time thinking about the question “Do you swear to tell the truth, the whole truth, and nothing but the truth?”
"Rather than pursuing multiple rounds of random mutagenesis and selection, we trained generative models on performance data from diversified pools of variants + drew on info-theoretic insights to explore deaminase sequence space to generate diverse high-performing deaminases." 🔥
"Rather than pursuing multiple rounds of random mutagenesis and selection, we trained generative models on performance data from diversified pools of variants + drew on info-theoretic insights to explore deaminase sequence space to generate diverse high-performing deaminases." 🔥
I disagree with Marcus here because Altman is giving a reasonable answer about o3's massive improvement relative to gpt4, which I think is true. The problem with the gpt5 rollout is the lack of care within openai at BENCHMARKING. Professor Marcus, o3 is a very good model.
I disagree with Marcus here because Altman is giving a reasonable answer about o3's massive improvement relative to gpt4, which I think is true. The problem with the gpt5 rollout is the lack of care within openai at BENCHMARKING. Professor Marcus, o3 is a very good model.
If I understand everything correctly, another name for a logarithm table is artificial general multiplication
This graphic helps explain why the name WIDE LEARNING would have actually been a much worse choice than DEEP LEARNING. The transformer can’t scale by width, even though an RNN can. The depth of stacking multiple blocks is what gives the single transformer block its importance
This graphic helps explain why the name WIDE LEARNING would have actually been a much worse choice than DEEP LEARNING. The transformer can’t scale by width, even though an RNN can. The depth of stacking multiple blocks is what gives the single transformer block its importance
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